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Showing result 1 - 5 of 7 essays matching the above criteria.

  1. 1. English spelling errors in Swedish high school : An investigation of English spelling errors among Swedish high school students and their possible causes

    University essay from Högskolan i Gävle/Avdelningen för humaniora

    Author : Gule Akman; [2019]
    Keywords : Spelling error; Swedish English learners; Second Language Acquisition SLA ; Transfer; Language Gender; Gender spelling mistakes; Program orientation; Uppsala Learner English Corpus ULEC ;

    Abstract : This study investigates spelling errors among Swedish students of English. The purpose of this research is to develop a better understanding of the causes of spelling errors and to investigate whether there are any differences between program orientation and gender. The participants are English A students from Swedish high schools in year 1. READ MORE

  2. 2. Spelling Correction To Improve Classification Of Technical Error Reports

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Rithika Harish Kumar; [2019]
    Keywords : ;

    Abstract : This master’s thesis project undertook the investigation of whether spelling correction would improve the performance of the classification of reports. The idea is to use different approaches of spelling correction to check which approach suits this particular dataset. Three different approaches were tested for spelling correction. READ MORE

  3. 3. Spelling Normalization of English Student Writings

    University essay from Uppsala universitet/Institutionen för lingvistik och filologi

    Author : Yuchan HONG; [2018]
    Keywords : spelling normalization; English student writings; phonetic similarity comparison; Levenshtein edit distance; character-based statistical machine translation; character-based neural machine translation;

    Abstract : Spelling normalization is the task to normalize non-standard words into standard words in texts, resulting in a decrease in out-of-vocabulary (OOV) words in texts for natural language processing (NLP) tasks such as information retrieval, machine translation, and opinion mining, improving the performance of various NLP applications on normalized texts. In this thesis, we explore different methods for spelling normalization of English student writings including traditional Levenshtein edit distance comparison, phonetic similarity comparison, character-based Statistical Machine Translation (SMT) and character-based Neural Machine Translation (NMT) methods. READ MORE

  4. 4. L2 English spelling error analysis : An investigation of English spelling errors made by Swedish senior high school students

    University essay from Karlstads universitet/Institutionen för språk, litteratur och interkultur

    Author : Amir Kusuran; [2017]
    Keywords : Spelling error analysis; misspellings; English as a Foreign Language EFL ; Second Language Acquisition SLA ; Swedish learners of English; learner English; English spelling; Felanalys av stavning; stavfel; English as a Foreign Language EFL ; Second Language Acquisition SLA ; svenska elever i engelska; learner English; engelsk stavning;

    Abstract : Proper spelling is important for efficient communication between people with different first languages in the 21st century. While Swedish functions as an intranational language within Sweden, it sees little to no use outside of Scandinavia. READ MORE

  5. 5. A list of productive vocabulary generated from second language learners' essays

    University essay from Göteborgs universitet/Institutionen för filosofi, lingvistik och vetenskapsteori

    Author : Lorena Llozhi; [2016-09-15]
    Keywords : SweLL list; Corpora; second language L2 ; SVALex; Swedish Kelly-list; NLP;

    Abstract : Corpora for second language (L2) learning may contain a receptive vocabulary, i.e., vocabulary that is understandable by learners or productive vocabulary that L2 learners themselves are able to actively use. Corpora containing productive vocabulary could assist both students and teachers, e. READ MORE